Marcus Hutter

No, but we have an alternative definition.

Instead of performing well, you can just replace it by goal.

So intelligence measures an agent's ability to achieve goals in a wide range of environments.

That's more or less equal.

Yeah, that's a big question.

I mean, the humans are performing best among all,

species we know we know of yeah depends you could say that trees and plants are doing a better job they'll probably outlast us so yeah but they are in a much more narrow environment right i mean you just you know have a little bit of air pollutions and these trees die and we can adapt right we build houses we build filters we we um we do geoengineering so multiple

Yeah, that is very important, yeah.

So that distinguish narrow intelligence from wide intelligence, also in the AI research.

Well, we are sort of getting there and on a small scale, we are already there.

The wide range of environments are missing, but we have self-driving cars, we have programs which play Go and chess, we have speech recognition.

So it's pretty amazing, but these are narrow environments.

But if you look at AlphaZero, that was also developed by DeepMind.

I mean, got famous with AlphaGo and then came AlphaZero a year later.

That was truly amazing.

So reinforcement learning algorithm, which is able just by self-play to play chess,

and then also Go.

And I mean, yes, they're both games, but they're quite different games.

And don't feed them the rules of the game.

And the most remarkable thing, which is still a mystery to me, that usually for any decent chess program, I don't know much about Go, you need opening books and end game tables and so on too.